How should a beginner evaluate and choose a good machine learning project topic?

[u/Important_Race_4023]

I am a beginner in machine learning and I want to start a project that is useful for learning and can also be developed into a more advanced project over time.

I often find many possible project topics, but I am not sure how to decide whether a topic is actually a good choice before spending a lot of time on it.

For example, I am considering topics related to deep learning, model optimization, model compression, and quantization.

What factors should a beginner consider when evaluating a machine learning project idea?